Talent.com
Expert Data Scientist

Expert Data Scientist

ConfidentialChennai
30+ days ago
Job description

About the Role

As an Expert Data Scientist , you'll become a key member of a cross-functional development team engineering the experiences of tomorrow. You'll develop advanced models, derive actionable insights from complex datasets, and work closely with stakeholders to create meaningful business and healthcare outcomes.

Responsibilities

  • Develop prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support insight generation and data visualization.
  • Conduct exploratory data analysis to uncover trends, patterns, and high-level insights.
  • Provide optimization recommendations to support KPIs across product, marketing, operations, PR, and other business units.
  • Collaborate with engineering teams to ensure developed solutions meet standards for functionality, scalability, performance, and reliability.
  • Work with business analysts and data engineers to understand their use cases and support implementation.
  • Identify opportunities for leveraging data to solve business problems and improve outcomes.
  • Drive innovation by researching and applying new methods, tools, and statistical techniques to improve decision-making processes.
  • Mentor teammates and promote knowledge sharing across the team.
  • Participate in community-building activities, internal knowledge exchange, and conferences.
  • Support marketing and sales teams through technical input, content creation, and customer meetings.

Requirements

General Technical Requirements

  • BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields.
  • Strong knowledge of probability theory , statistics , and the mathematics behind machine learning .
  • Experience using CRISP-ML(Q) or TDSP methodologies to solve business problems.
  • Proficient in machine learning techniques including :
  • Regression
  • Classification
  • Clustering
  • Dimensionality reduction
  • Strong proficiency in Python for modeling and statistical analysis.
  • Skilled in data visualization with libraries such as Matplotlib , Seaborn , or Plotly .

    • Specific Technical Skills

  • Advanced SQL skills for data manipulation, sampling, and reporting.
  • Experience with :
  • Imbalanced datasets
  • Time series data (preprocessing, feature engineering, forecasting)
  • Outlier and anomaly detection
  • Handling various data types (text, image, video)
  • Familiarity with cloud-based ML services : AWS SageMaker , Azure ML , or Google AI Platform .

    • Domain Experience (Healthcare)

  • Analyzing medical signals and images.
  • Predictive modeling for outcomes, disease progression, readmissions, and population health risks.
  • NLP / text mining on clinical notes, medical literature, or patient-reported data.
  • Experience with survival analysis and time-to-event modeling .
  • Designing and analyzing clinical trials or research studies.
  • Causal inference methods (e.g., propensity score matching, instrumental variable techniques).
  • Knowledge of healthcare regulations like HIPAA , GDPR , and FDA compliance.
  • Secure handling of healthcare data, including de-identification and patient consent.
  • Familiarity with federated learning and decentralized models .
  • Understanding of healthcare interoperability standards : HL7 , SNOMED , FHIR , DICOM .
  • Ability to work with clinicians, researchers, and policymakers to extract actionable insights.

    • Good to Have Skills

  • MLOps experience : integrating ML into production, using Docker , Kubernetes .
  • Experience in deep learning with TensorFlow or PyTorch .
  • Knowledge of LLMs and Generative AI .
  • Experience with MS SQL Server , PostgreSQL , Databricks , Snowflake .
  • Familiarity with Big Data technologies (e.g., Hadoop , Apache Spark ).
  • Experience with NoSQL databases (e.g., Cassandra , Neo4j ).

    • Business-Related Requirements

  • Demonstrated success in delivering data science projects that drive measurable business impact.
  • Ability to translate business problems into data science use cases and execute them end-to-end.
  • Excellent project and time management skills.
  • Strong communication and storytelling skills for conveying complex technical concepts to stakeholders.

    • Desirable

  • Published research or peer-reviewed journal articles.
  • Recognized achievements in data science competitions (e.g., Kaggle ).
  • Certifications in cloud-based ML platforms (AWS, Azure, GCP).

    • Skills Required

    Matplotlib, Azure ML, Seaborn, Data Visualization, Python

    Create a job alert for this search

    Data Scientist • Chennai